Water, sediments and fishes: First multi compartment assessment of metal pollution in a coastal environment from the SW Atlantic

Colla, Noelia Soledad la; Botté, Sandra Elizabeth; Simonetti, Pía; Negrin, Vanesa Lorena; Serra, Analía Verónica; Marcovecchio, Jorge Eduardo

doi:10.1016/j.chemosphere.2021.131131

Cited by 25 publications

(3 citation statements)

References 69 publications

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“…The risks associated with metal levels in fish tissues were assessed by means of the bioaccumulation factor (BAF). This factor evaluates the bioaccumulation of a certain element with respect to the environmental matrices [ 82 ]. The biota-water accumulation factor (BWAF) can be calculated as the ratio between the concentration of metal ions in fish tissue (mg/kg, dry weight) and the concentration in water (µg/L), while the biota-sediment accumulation factor (BSAF) refers to the concentration in the sediment compartment (mg/kg, dry weight).…”

Section: Resultsmentioning

confidence: 99%

Ecological Status of Algeciras Bay, in a Highly Anthropised Area in South-West Europe, through Metal Assessment—Part II: Biotic Samples

Casanueva-Marenco,

Galindo-Riaño,

Granado-Castro

et al. 2024

Toxics

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Biotic samples from Algeciras Bay (South-west Europe) were studied to assess its ecological status, complementing the previous abiotic monitoring of trace metals in water and sediments. This bay is a densely populated area with intense port traffic and is highly industrialised with metal inputs. To study the impact of this, Zn, Cd, Pb, and Cu contents were determined in tissues of benthic (Solea senegalensis) and benthopelagic species (Scorpaena porcus, Trigloporus lastoviza, and Diplodus sargus sargus). Notable levels of Zn and Cu were found in the liver and gills of all fish species. Compared to international muscle guidelines, Pb sometimes exceeded the most restrictive values, outstanding S. porcus with 27% of samples above the permissible value. Metal pollution indexes revealed that the liver and gills of benthic species were more affected by metal pollution than benthopelagic species, especially in most industrialised sites. Particularly, S. senegalensis presented a higher accumulation factor from sediment of Cd and Cu in the liver (30.1 and 345.1), probably due to the close interaction as benthic species. Among the species studied, S. senegalensis and D. sargus sargus proved to be the best representative and useful bioindicators of metal-polluted environments as this bay. The results were consistent with the findings from the abiotic samples.

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Section: Resultsmentioning

confidence: 99%

Ecological Status of Algeciras Bay, in a Highly Anthropised Area in South-West Europe, through Metal Assessment—Part II: Biotic Samples

Casanueva-Marenco,

Galindo-Riaño,

Granado-Castro

et al. 2024

Toxics

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“…Therefore, it is urgent to reveal the possible rate of transfer of heavy metals from water and sediment of these WFAs to sh reared in them. Once in the aquatic environment, heavy metals are accumulated in different aquatic organisms, transferred to higher trophic levels through the food chain, and potentially can perturb ecosystem functioning (Colla et al, 2021). Fish cannot escape the harmful effects of pollutants entering into aquatic environments (Yarsan et al, 2013), and thus serves as a useful bio-monitoring agent of heavy metal pollution in the aquatic ecosystem (Rashed, 2001;Osman, 2012;Kumar et al, 2019;Akila et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

Transfer of chromium from environment to fish in East Kolkata wetlands – evaluation by structural equation modeling

Ghosh,

Saha,

Kaviraj

et al. 2023

Environ Monit Assess

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Chromium (Cr) is a signi cant pollutant in the e uents from leather industries as well as in domestic city sewage. Cr was determined in water, sediment and different tissues (gill, muscle, intestine, liver, and kidney) of Nile tilapia, Oreochromis niloticus harvested from wastewater-fed aquaculture (WFA) ponds situated at Bamonghata, Bantala, Chowbaga and Chingrighata of East Kolkata Wetlands (EKW), a Ramsar site in West Bengal, India. The results showed that Cr concentration in surface water ranged between 0.05 to 0.15 mg/L, while Cr was detected at high concentration (100 -300 mg/kg) in the sediment soil of the rst three WFAs and in moderate concentration (50 -110 mg/kg) in Chingrighata WFA. Average Cr concentrations in the tissues were ranked in the following sequence: kidney>liver>intestine>gill>muscle. However, the extent of accumulation of Cr in different tissues varied between the WFAs. We used Structural Equation Modelling (SEM) to determine the route of Cr transfer. The tness of the model was evaluated by the performance measures. Cr accumulation pathways varied between the sites depending upon the level of Cr in water or sediment. Except for Bamonghata WFA, sediment was found as the principal source of accumulation of Cr in different tissues of O. niloticus. Cr re uxed from sediment into overlying water and accumulated in sh either through the food chain or through direct accumulation from water. In Bamonghata WFA, the role of sediment in the transfer of Cr could not be established due to the high depth of water or biological non-availability of Cr in the sediment. It is concluded from this study that sh reared in the WFAs of EKW are still not hazardous in respect of Cr, but require proper management to avoid the in ux of Cr-containing e uents into the WFAs. HighlightsCr is a signi cant pollutant in East Kolkata Wetlands (EKW) Sediment of wastewater fed aquaculture ponds (WFA) of EKW is a sink of Cr Transfer of Cr from sediment or water to Oreochomis niloticus is explained Maximum and minimum Cr was detected in the kidney and muscle, respectively Structural Equation Modelling is a helpful tool to explain transfer of Cr

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“…Maritime policies must be used to guarantee that human activities and a healthy ecosystem are harmonious. The use of contamination levels in abiotic environmental compartments, such as water and sediments, to monitor the water quality of marine ecosystems may aid in identifying the principal sources of pollution (la Colla et al, 2021). However, because metals in sediments have been increasing in recent years, water quality requirements are insufficient to preserve aquatic ecosystems.…”

Section: Introductionmentioning

confidence: 99%

NATIONAL DATABASE OF METAL IN COMPARATIVE PERSPECTIVES OF THE UNITED KINGDOM & INDONESIA

Puspitasari

Koestoer

2021

BoMG

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The ocean is a source of mega-biodiversity that is supposed to perform optimally for current and future generations. The health of the ocean must be evaluated by measuring heavy metals in sediment because they can be accumulated and stored in long term. This metal can be released and absorbed by an organism, and affect the ecological risk and human health. The purpose of this article is to share viewpoints and those in a comparative study in terms of the metal database of both countries, the UK and Indonesia. The methodology used in this paper is critical review and analysis to compare a success story about compiling metal data into a national database in the United Kingdom (UK). Indonesia already has an open public access database issued by the Ministry of Environment and Forestry. The further step is to strengthen collaboration between research institutes, universities, and government to assign a Standard Operational Procedure (SOP) to collect, analyze and report the data to a national depository. This database will be worthwhile to describe the pollution status in Indonesia and basic data for best practice decisions.

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Water, sediments and fishes: First multi compartment assessment of metal pollution in a coastal environment from the SW Atlantic

Cited by 25 publications

References 69 publications

Ecological Status of Algeciras Bay, in a Highly Anthropised Area in South-West Europe, through Metal Assessment—Part II: Biotic Samples

Ecological Status of Algeciras Bay, in a Highly Anthropised Area in South-West Europe, through Metal Assessment—Part II: Biotic Samples

Transfer of chromium from environment to fish in East Kolkata wetlands – evaluation by structural equation modeling

NATIONAL DATABASE OF METAL IN COMPARATIVE PERSPECTIVES OF THE UNITED KINGDOM & INDONESIA

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